About

Naoko Ogawa is a pioneering robotics researcher whose work sits at the fascinating intersection of microrobotics, biological systems, and visual control. Her most significant contributions center on harnessing living microorganisms — particularly the protozoan *Paramecium caudatum* — as functional microscale robots, exploiting a phenomenon known as galvanotaxis, the locomotor response to electrical stimuli, to precisely direct cell movement. Ogawa's most influential work, "Microrobotic Visual Control of Motile Cells Using High-Speed Tracking System" (2005, 81 citations), established a groundbreaking visual feedback control framework that enabled real-time guidance of individual microorganisms. She expanded this foundation to tackle three-dimensional control, cluster coordination of multiple microorganisms, and mathematical dynamics modeling of galvanotaxis — contributions that collectively advanced the field's understanding of how biological entities can be engineered into purposeful micro-actuators. Her 2006 work on organized motion control of large numbers of microorganisms demonstrated impressive collective manipulation capabilities, including micro-manipulation tasks performed by coordinated paramecia swarms. Beyond biological microrobotics, Ogawa has also contributed to passive mobile robot formation control. With a focused but impactful publication record totaling over 160 citations, her research offers a compelling vision for bio-hybrid microrobotic systems with applications in medicine, manufacturing, and microscale engineering.

Research Focus

Key Achievements

6
H-Index
8
Papers
165
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Microrobotic visual control of motile cells using high-speed tracking system
81 citations · 2005
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: The University of Tokyo, Tokyo University of Information Sciences, Institute of Space and Astronautical Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago